Upload checkpoint-13000

.gitattributes

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+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+license: apache-2.0
+language:
+- ko
+- en
+tags:
+- text-generation
+- pytorch
+- causal-lm
+library_name: transformers
+---
+
+# gemma3-1b-cpt-final-checkpoint-13000
+
+이 모델은 파인튜닝된 언어 모델 체크포인트입니다.
+
+## 모델 정보
+- **베이스 모델**: gemma3-1b-cpt-final
+- **체크포인트**: checkpoint-13000
+- **타입**: Causal Language Model
+- **라이선스**: Apache 2.0
+
+## 사용 방법
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+model_name = "NTIS/gemma3-1b-cpt-final-checkpoint-13000"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(
+    model_name,
+    torch_dtype=torch.float16,
+    device_map="auto"
+)
+
+# 텍스트 생성
+text = "안녕하세요"
+inputs = tokenizer(text, return_tensors="pt")
+outputs = model.generate(**inputs, max_length=100, do_sample=True, temperature=0.7)
+result = tokenizer.decode(outputs[0], skip_special_tokens=True)
+print(result)
+```
+
+## 주의사항
+- 이 모델은 연구/실험 목적으로 제공됩니다
+- 상업적 사용 전에 라이선스를 확인하세요

config.json

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+{
+  "architectures": [
+    "Gemma3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "attn_logit_softcapping": null,
+  "bos_token_id": 2,
+  "cache_implementation": "hybrid",
+  "eos_token_id": 1,
+  "final_logit_softcapping": null,
+  "head_dim": 256,
+  "hidden_activation": "gelu_pytorch_tanh",
+  "hidden_size": 1152,
+  "initializer_range": 0.02,
+  "intermediate_size": 6912,
+  "max_position_embeddings": 32768,
+  "model_type": "gemma3_text",
+  "num_attention_heads": 4,
+  "num_hidden_layers": 26,
+  "num_key_value_heads": 1,
+  "pad_token_id": 0,
+  "query_pre_attn_scalar": 256,
+  "rms_norm_eps": 1e-06,
+  "rope_local_base_freq": 10000,
+  "rope_scaling": null,
+  "rope_theta": 1000000,
+  "sliding_window": 512,
+  "sliding_window_pattern": 6,
+  "torch_dtype": "float32",
+  "transformers_version": "4.51.3",
+  "use_cache": true,
+  "vocab_size": 262144
+}

generation_config.json

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+{
+  "attn_implementation": "flash_attention_2",
+  "bos_token_id": 2,
+  "cache_implementation": "hybrid",
+  "do_sample": true,
+  "eos_token_id": [
+    1,
+    106
+  ],
+  "pad_token_id": 0,
+  "top_k": 64,
+  "top_p": 0.95,
+  "transformers_version": "4.51.3"
+}

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